On robust signal reconstruction in noisy filter banks
Signal Processing - Content-based image and video retrieval
Optimal design of noisy transmultiplexer systems
EURASIP Journal on Applied Signal Processing
Design of nonuniform filter bank transceivers for frequency selective channels
EURASIP Journal on Applied Signal Processing
Robust H∞ filter design for uncertain fuzzy neutral systems
Information Sciences: an International Journal
Optimal noise reduction in oversampled PR filter banks
IEEE Transactions on Signal Processing
Robust H2/H∞ global linearization filter design for nonlinear stochastic systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Multirate filterbank design: a relaxed commutant lifting approach
IEEE Transactions on Signal Processing
| Hi-index | 35.69 |
A mixed H2/H∞ filter design is proposed for multirate transmultiplexer systems with dispersive channel and additive noise. First, a multirate state-space representation is introduced for the transmultiplexer with the consideration of channel dispersion. Then, the problem of signal reconstruction can be regarded as a state estimation problem. In order to design an efficient separating filterbank for a transmultiplexer system with uncertain input signal and additive noise, the H∞ filter is employed for robust signal reconstruction. The H2 filter design is considered to be a suboptimal approach to achieve the optimal signal reconstruction in transmultiplexer system under unitary noise power. Finally, a mixed H2/H∞ filter is proposed to achieve a better signal reconstruction performance in transmultiplexer systems. These design problems can be transformed to solving the eigenvalue problems (EVP) under some linear matrix inequality (LMI) constraint. The LMI Matlab toolbox can be applied to efficiently solve the EVP by convex optimization technique